Nuage has partnered with a client who is seeking an AI Core Platform Engineer to help design and build a centralised AI platform that enables scalable, secure, and enterprise-ready AI solutions.
  
In this role, you’ll operate at the intersection of cloud engineering and AI, building a robust foundation to support enterprise-wide AI and machine learning initiatives. You’ll collaborate closely with cross-functional teams to deliver production-grade AI capabilities that drive meaningful business outcomes, while helping define how AI is developed, deployed, governed, and managed across the organisation.
  
Working within an AWS-first environment supported by Databricks, you’ll take ownership of designing and building a scalable, secure platform that enables teams to move seamlessly from experimentation into production. From day one, you’ll embed best practices across automation, governance, and lifecycle management to ensure the platform is reliable, efficient, and built for long-term growth.
  
What You’ll Do

• Contribute to the design and development of a scalable AI Core Platform
• Build and manage AI/ML pipelines and deployment frameworks
• Implement governance, security, and compliance controls

What You’ll Bring

• Strong experience as an AWS Engineer across the full stack
• Hands-on experience with AWS, Databricks, CI/CD, and Infrastructure as Code (IaC)
• Experience with AI/ML tooling such as AWS Bedrock and AgentCore
• Solid understanding of AI/ML lifecycle management
• Background in security, governance, and automation within cloud environments

  
This is a hybrid role requiring two days onsite in either Sydney or Melbourne. If this sounds of interest, please reach out to bro•••@nuagetg.io for this role or to discuss other AI Engineering contract opportunities.